KDnuggets

DECEMBER 5, 2019

Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.

Datasets 120

Datasets Data Coding Process 120

KDnuggets

NOVEMBER 12, 2019

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

Coding 121

Coding Python Data Process Process 121

KDnuggets

NOVEMBER 7, 2019

This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.

Python 115

Python Metadata Process Data Preparation 115

ProjectPro

MAY 18, 2016

Big data industry has made Hadoop as the cornerstone technology for large scale data processing but deploying and maintaining Hadoop clusters is not a cakewalk. from 2014-2019. A data scientist spends most of the time in data preparation so a HDaaS solution should offer a rich and powerful environment for analysis.

Hadoop 40

Hadoop Google Cloud Cloud Computing Big Data 40

Knowledge Hut

APRIL 22, 2024

There are fewer processes, but they are subject to revisions to third-party hosting software. build process as below. Output: Step 6: Once the build process complete, Run the command below to install Python 3.10 Methodology to install Python 3.10 Ubuntu 20.04 or 18.04: Using apt, Install Python 3.10 on Ubuntu 18.04 or Ubuntu 20.04

Python 98

Python Programming Language Data Science Programming 98

AltexSoft

MAY 12, 2021

Computer vision is a subset of artificial intelligence that focuses on processing and understanding visual data. Its ultimate goal is to make machines distinguish objects as living beings do, by simulating the processes of human perception. Computer vision requires plenty of quality data, diverse in gender, race, and geography.

Medical 72

Medical Healthcare Datasets Machine Learning 72

AltexSoft

NOVEMBER 15, 2022

First of all, this is an increase of around 5 percent over the summer of 2019: It’s already an indicator that things are going pretty well. A lot of quality data, to be even more exact. To learn the basics, you can read our dedicated article on how data is prepared for machine learning or watch a short video.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Advancing Analytics: Data Engineering

JULY 2, 2019

The Data Science Engineer Let’s start with the original idea of the Data Engineer, the support of Data Science functions by providing clean data in a reliable, consistent manner, likely using big data technologies. I’m going to refer to this role as the Data Science Engineer to differentiate from its current state.

Business Intelligence 52

Business Intelligence Data Engineering Data Engineer Engineering 52

AltexSoft

JULY 23, 2022

In October 2019, Microsoft reported artificial intelligence helped manufacturing companies outperform rivals stating that manufacturers adopting AI perform 12 percent better than their competitors.Therefore, we are likely to see the outburst of AI-based technologies in manufacturing along with the advent of new highly-paid workplaces in this area.

Manufacturing 52

Manufacturing Technology Transportation Machine Learning 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand "By 2022, 75% of all databases will be deployed or transferred to a cloud platform, with only 5% ever evaluated for repatriation to on-premises," according to Gartner. Data engineers will be in high demand as long as there is data to process. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

U-Next

SEPTEMBER 22, 2022

Predictive Analytics is expected to generate more than six billion dollars in revenue by 2019. An analysis of patterns in a data set to predict future events or outcomes is known as predictive modeling, a statistical process of predicting future outcomes or events. What Are Predictive Models? .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Key Big Data characteristics. Velocity is the speed at which the data is generated and processed.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JANUARY 15, 2021

The classic deep learning CNN machine learning algorithm works best in classifying the products in the images at a pixel level to simplify the checkout process. 2) APTOS 2019 Blindness Detection This is a diverse and expansive dataset of fundus photography retina images captured under various imaging conditions.

Datasets 40

Datasets Machine Learning Retail Banking 40

AltexSoft

DECEMBER 15, 2021

Automated machine learning or AutoML is the process of reducing manual work in the machine learning pipeline with the help of special software tools. Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59